A PROFILE OF HUMAN IMMUNODEFFICIENCY VIRUS INFECTED PATIENTS IN YENEPOYA MEDICAL COLLEGE HOSPITAL WITH SPECIAL REFERANCE TO CORRELATION BETWEEN CD4 COUNT AND TOTAL LYMPHOCYTE COUNT 1. INTRODUCTION The world wide epidemic of Human Immuno deficiency Virus (HIV) is an international health problem of extraordinary scope and unprecedented urgency1. Since 1980 till today HIV epidemic has continued its dramatic expansion universally, both geographically and in terms of risk groups. The epidemiological scenario is also changing, from a disease mainly of homosexual males to a rapidly growing population of HIV infected females, children and men who are not homosexuals. The spectrum of HIV infection includes asymptomatic cases to AIDS at other extreme. The diagnosis rests on clinical manifestations and laboratory markers. In India, the socioeconomic and cultural environment is important in disease transmission and prevalence, as also the clinical spectrum is very different from western society. One of the purposes of this study is to know the different patterns of clinical presentation of HIV infection in this region Soon after HIV was found to be the cause of AIDS, it was shown that the virus binds to receptors on CD4 cells, enters the cells, and uses them to create new virus, destroying them in the process. This results in the depletion of CD4 cells and immunodeficiency.2 With the increased availability of equipment to perform CD4 counts and the knowledge that CD4 cells were the primary target of HIV, the determination of CD4 count became the standard measure of immunodeficiency in adult HIV-infected patients in resource-rich countries. The relative ease of CD4 cell monitoring also led to its advocacy in treatment guidelines for determining when to start, stop, or change ART and for deciding when to initiate prophylaxis for opportunistic infections (OIs). This is despite the fact that CD4 count does not always correlate with functional immunity; some patients with normal CD4 counts are susceptible to OIs and some patients with significantly depressed CD4 counts do not seem unduly susceptible to OIs. The determination of CD4 cell count and percentage is too expensive for most health facilities in resource-poor countries to perform routinely3. In contrast, TLC can be derived easily in resource-poor countries by performing a routine white blood cell count. TLC is the total white blood cell count multiplied by the lymphocyte percentage; for example, a total white blood cell count of 6,000 cells / µL with a lymphocyte percentage of 30% would result in a TLC of 1,800 cells / µL3. The equipment and skills to perform total white blood cell count and differential are readily available in most hospitals and clinics in resource-poor countries. The need to rapidly expand the use of ART in resource-poor countries as well as the human resource constraints, cost, and infrastructure concerns surrounding CD4 cell measurements have prompted to evaluate the utility and predictability of TLC as a measure of immune function and its usefulness in guiding initiation of ART. This study also attempts to correlate CD4 count with TLC 4. MATERIALS AND METHODS Design: Prospective study of 2yrs from October 2005 to October 2007. Setting: Yenepoya Medical college Hospital 1.Inclusion Criteria Adult HIV positive patients above 16yrs with a definite diagnosis of HIV Illness by CDC revised surveillance. 2. Exclusion Criteria 1. Pediatric HIV positive patients. 2. Patients on immunosuppressant therapy. 3. Patients who are diagnosed as HIV positive earlier and on treatment for the same. Patient Enrollment and Monitoring 50 cases of HIV positive patients were recruited from all treating units at Yenepoya Medical College Hospital from October 2005 to October 2007. These pts were also treated for opportunistic infections. Method of collection of Data Diagnosis of HIV was made in these patients by Detailed clinical history and physical examination. Routine laboratory investigations including Elisa (2 ELISA). Venous samples were sent for evaluation of CD4 count (by Flow cytometric method). At the same time samples were sent for evaluation of TLC. Total lymphocyte count (TLC) was calculated by multiplying the differential lymphocyte count with the total leucocyte count. [TLC=Total leucocyte count x Differential lymphocyte count] In the patients who were symptomatic, the following investigations were done. Collection and processing of specimens. Various samples e.g. sputum, oral swab, blood, stool, urine, cerebrospinal fluid (CSF), lymph node aspirate were collected as per symptoms and clinical presentations. All the specimens were collected under universal aseptic precautions in suitable sterile containers. Oral swab Oral swabs were collected in cases presenting with oral thrush. Two sterile swabs were taken and each rubbed against the right tonsil and rolled along the soft palate to the left tonsil. Curdy white patches were also swabbed. Gram staining was done with one swab and the other swab was streaked on sabourauds dextrose agar slope. Germ tube test was also performed for presumptive identification of candida Albicans Stool Fresh samples of stool were collected in sterile, dry, leak proof, wide-mouth container. Wet mount- Direct saline mounts and iodine mounts were screened under microscope for helminthes eggs, larvae, protozoan cysts, trophozoites, pus cells and possible fungal elements. After concentration method supernatants were discarded, sediment was used for Kinyoun cold test for detection of oocysts of cryptosporidium, cyclospora, isospora and sarcocystis. Sputum Early morning sputum was collected in a wide mouthed sterile container. Instructions were given to rinse the mouth with tap water before sample collection, and to collect expectoration and not saliva. Wet mount- sputum sample was taken on a clean glass slide and 2 drops of 10% KOH was added and covered with a cover slip. Slip was kept in incubator at 37degree c for 1O mins and examined for fungal elements. Staining of sputum was done for detection of Gram stain- to see pyogenic bacteria, pus cells and epithelial cells Ziehl- Neelsen stain for acid fast bacilli Methanamine silver nitrate stain- for the detection of pneumocystis carini cysts Urine Mid stream urine samples were collected in sterile container. All the samples were processed within one hour of collection . Gram stain- done to detect pus cells, epithelial cells, bacteria and yeast cells. Cerebrospinal fluid (CSF) CSF samples were obtained by lumbar puncture and processed immediately. CSF fluid was sent to microbiology for Culture Staining- gram stain, Ziehl-Neelsen's stain and methylene blue stains were used to detect different pathogens India ink wet mount- it was done to detect presence of Cryptococus. Blood Skin at the site of venepuncture was cleaned with 70% alcohol followed by 2% tincture iodine. Total 15ml blood was collected from each patient. 10ml was used for blood culture and 5m1 was collected in sterile pencillin vial for serological tests. Serology The blood collected in pencillin vial was allowed to clot. Samples were centrifuged and serum was collected for following tests VDRL HbsAg HCV Method of Statistical Analysis Sensitivity and specificity of various total lymphocyte count cut off were computed for CD4 count <200 cells/mm3. Correlated and statistical indices computed for all pts Sensitivity, Specificity, Positive Predictive value and Negative Predictive value: TLC values at 1200 or < compared with CD4 values at <200, then the number of patients with True Positive (TP), False Positive (FP), True Negative (TN) and False Negative (FN) determined. The following were calculated : Sensitivity : [TP/(TP+FN)] Specificity : [TN/ (TN+FN)] Positive Predictive Value : PPV = [TP/(TP+FN)] Negative Predictive Value : NPV =[TN/(FN+TN) In the above test P value less than 0.05 were taken to be statistically significant. The data was analysed using Stastical Package for Social Science (SPSS) package. 4. RESULTS AND ANALYSIS A total number of 50 cases of HIV infected patients admitted in Yenepoya Medical College Hospital, Mangalore who met the inclusion criteria were studied. 1. AGE AND SEX DISTRIBUTION : Table No. 1 : The age and sex distribution. Age i n years Mal e Fe mal e T otal <20 _ _ _ 21 -30 12 1 13 31 -40 20 2 22 41 -50 10 2 12 51 -60 2 _ 2 >61 1 _ 1 Out of the 50 cases studied, 45 (90%) were males and the remainder 5 (10%) were females. Their ages ranged from 20 years to 60 years with a mean of 38.08 ± 9.01. The ratio of Male : Female was 9 : 1. The maximum incidence of 70% was seen in the age group between 20 to 40 years, of which 91.42% (32/35) were males. FIGURE No : 1 AG E AND S E X D IS T R IB UT ION male female 25 Num ber in years 20 15 20 10 12 5 0 10 0 1 2 2 < 20 21-30 31-40 41-50 2 0 1 0 0 Ag e in ye a rs 51-60 > 60 2. OCCUPATION: Table No. 2: Sex Wise Distribution Of Different Types Of Occupations : Male Female Total Transport 17 - 17 Farmers 5 - 5 Hotel workers 11 - - Labourers 7 1 8 Others 5 4 9 Out of the 50 cases studied, 34% (17/50) were in transport, 22% (11/50) were hotel workers, 16% (8/50) were labourers, and the rest constituted farmers, businessmen, housewives. FIGURE : 2 Distribution of types of occupation 17 11 11 8 Others Labourers Hotel work Agriculture Transport 5 3. MODE OF TRANSMISSION : Out of 50 cases, 64% (32/50) had heterosexual (multiple sexual partners), Homosexual 10% (5/50), Blood transfusion 0.5% (1/50) and mode of transmission and history could not be obtained in 24% (12/50). FIGURE : 3 DURATION SINCE TIME OF FIRST RISK EXPOSURE: Duration since time of first risk exposure ranged from 2 years to 20 years with the mean of 8.27 ± 4.181. 5. PRESENTING SYMPTOMS Table No. 3: Sex wise distribution of presenting symptoms : Presenting symptoms Male Female Total Fever > 1 month 36 4 40 Cough 27 2 29 Diarrhoea >Imonth 9 2 11 Significant weight loss 39 3 42 Abdominal pain 10 - 10 Headache 5 1 6 Seizures 3 - 3 Altered sensorium 2 0 2 Dysphagia 1 1 2 Ear discharge. 1 - 1 Out of 50 cases, most common presenting symptoms were fever of more than 1 month in 80% (40/50) and significant weight loss in 84% (42/50), 58% (29/50) had cough out of which 40% (20/50) had expectoration. 22% (11/50) had diarrhoea of more than 1 month. Pain abdomen was complained by 20% (10/50) of patients, 12% (6/50) had headache and 6% (3/50) had seizures of generalized tonic clonic type. Two patients presented with altered sensorium and two with dysphagia. Purulent discharge from the ear was complained by one patient. 3 2 2 1 altered sensorium Dysphagia Ear d/d 6 seizures head ache 11 Abdominal pain 40 significant wt loss Diarhoea>1m cough fever >1m Number of patients FIGURE:4 Distribution of presenting symptoms 42 29 10 6. CLINICAL SIGNS : Table No. 4: Sex wise distribution of clinical signs : Signs Male Female Total Lymphadenopathy 17 3 20 Oral candidiasis 10 3 13 Skin lesions 7 0 7 Of the total number of patients studied on general physical examination, 40% (20/50) had palpable lymphnodes, 26% (13/50) had oral candidiasis, 14% (7/50) had skin manifestations and commonest manifestation was papular eruption seen in 42.85% (3/7) of cases, seborrheic dermatitis, hypopigmented macules, penile ulcer were seen in 57.16% (4/7) cases. FIGURE : 5 Number of patients DISTRIBUTION OF CLINICAL SIGNS 20 13 7 Lymphade nopathy Oralcandidiasis 7. LABORATORY PROFILE: Skin le sions Haemoglobin estimation was done in 50 cases. 14% (7/50) had a haemoglobin of less than 8gm% and 26% (13/50) had haemoglobin of more than 12gm% with mean of 10.42 ± 1.99. Peripheral smear in 62% of cases were normocytic normochromic type. Table No. 5 : Sex wise Distribution of Haemoglobin Levels Haemoglobin in gm% Male Female Total <8 8 – 10 4 16 3 1 7 17 10 – 12 12 1 13 >12 13 - 13 FIGURE : 6 Number of patients DISTRIBUTION OF HEMOGLOBIN LEVELS 17 16 13 4 <8 8 to 10 10 to 12 >12 Gram % of hemoglobin Table No. 6: Sex wise distribution of peripheral smear study Peripheral smear Male Female Total Microcytic hypochromic 14 2 16 Normocytic 28 3 31 Normocytic hypochromic 0 0 0 Dimorphic 2 0 2 Thrombocytopenia I 0 1 Normochromic TLC vs. CD4+ COUNT The overall mean baseline CD4+ counts in study group was 175 cells/mm3 while the overall mean baseline Total Lymphocyte count (TLC) in study group was 1338 cells/mm3.There is a fair positive correlation between CD4 count and TLC ( r = 0.55, p= <0.0001). Table No : 7 Pearson Partial Correlation Coefficient TLC CD4 r: 0.55 p : <0.0001 Figure No : 7 Scatter plot of CD4+ counts vs TLC Table No : 8 CD4+ Count < 200 vs TLC < 1200 TLC <200 <1200 >1200 Total No 20 13 33 % 60.61% 39.39% No 2 15 % 11.76% 88.24% No. 22 28 CD4 >200 Total 17 50 When patients with CD4 count of <200 cells/mm3 and TLC of <1200 cells/mm3 were correlated, the result showed a highly significant stastical correlation (P <0.001) with sensitivity of 91% and specificity of 53% and positive prediction value of 70% and negative prediction value of 30% CHEST X - RAY : Table No.9 : Sex wise distribution of various chest X-ray patterns. Type of lesion Upper Male % Female % Total % 17.8 0 17.8 39.28 7.14 46.42 10.71 0 10.71 7.1 3.61 10.71 3.57 0 3.57 3.57 0 3.57 7.14 0 7.14 zone lesions B/L infiltrations Lower zone lesion Pleural effusion Pneumothora x Cardiomegaly Miliary mottling Out of 50 patients studied, 28 had radiological abnormalities. There were apical lesions in 5, bilateral extensive infiltrations in 13, cardiomegaly in 1, pleural effusion in 3, lower lobe opacities in 3, pneumothorax in 1 and miliary mottling in 2. FIGURE No : 8 Distribution of chest x-ray findings Number of patients 46.42 17.8 10.71 10.71 3.57 Cardiomegaly Miliary motling 3.57 Pneumothrx Pl.effusion L.zone lesions B/L infiltrations Apical u.zone lesions 7.14 Chest x-ray findings Opportunistic infections and other associated conditions patients in HIV infected Tuberculosis: Out of 50 cases studied, tuberculosis was the commonest opportunistic infection with 68% (34/50) of cases having tuberculosis. 38.23% (13/34) had only pulmonary tuberculosis, 38.23% (13/34) had only extra pulmonary tuberculosis and 23.53% (8/34) had both pulmonary and extra pulmonary tuberculosis. FIGURE No: 9 Secondary Infections: Out of 50 cases, 6% (3/50) had secondary bacterial non opportunistic infections, out of which 2 were pneumonia caused by gram negative bacilli and 1 was chronic suppurative otitis media. Neurological manifestations: Out of 50 cases, 28% (14/50) had neurological manifestations. Out of them 50% (7/14) had tubercular meningitis, 14.28% (2/14) had tuberculoma, 14.28% (2/14) had tubercular arachnoiditis presenting with myeloradiculopathy. 1 patient was diagnosed to have HIV encephalopathy (AIDS dementia complex) and 2 patients had progressive multifocal leukoencephalopathy. FIGURE No : 10 perc entag e of c as es Dis tribution of various Neurolog ic al s ymptoms 50 14.28 14.28 14.28 7.14 Tuberc ular meningitis Tuberc uloma TB arac hnoiditis A IDS dementia P ML Neurologic al s ymptoms Sexually transmitted diseases : One patient, that is 2% (1/50) had gonorrhoea and one patient was diagnosed to have hepatitis B. Persistant generalized lymphadenopathy was found in one out of 50 cases studied. Renal manifestation: Out of 50 cases studied, one patient had HIV associated nephropathy and one patient had chronic renal failure. Malignancy: Out of 50 cases studied, one patient had Non Hodgkins lymphoma and in one patient probable diagnosis of Kaposi’s Sarcoma was made. Fever of Unknown Origin: Out of 50 patients, 80% (40/50) had fever of more than 1 month duration, of which definitive diagnosis could not be made in 3 cases and were diagnosed as fever of unknown origin. Table No. 10 : Distribution of various opportunistic infections and other manifestations. Para met er T u b ercu l osi s Pe rc en tage of cases 68 P ul m onar y 20 Ex t ra -pul m onary 38 Bot h 10 Secondary bacterial infections 6 Neu rol ogi cal sy mp t oms 28 Tubercul a r m eni n gi t i s 50 Tubercul om a 14.28 TB a rachnoi di t i s 14.28 A IDS dem ent i a 7.14 P rogr essi ve m ul t i focal l eucenc ephal o pat h y Sexually transmitted diseases 14.28 4 Gonorrhoe a 2 Hepat i t i s B 2 Ren al Man i f estati on s 4 H IV associ at ed n ephropat h y 2 C hroni c renal f ai l ure 2 Fev er of u n k n ow n ori gi n 6 Mal i gn an cy 4 Non Hodgki ns l ym phom a ? Kaposi ’s S arco m a 2 2 2 Pe rsi sten t g en eral i zed l ymp h ad en op ath y 6. DISCUSSION The observations made in 50 cases of HIV infected patients admitted to Yenepoya Medical College Hospital, Mangalore between October 2005 to September 2007, is discussed and compared with other studies. 1. AGE AND SEX: Ghate M.V et a1 71 in his study on changing trends in clinical presentation of HIV infected persons in Pune found that 88.1% of the cases were in the age group between 21 years and 40 years and it was the male population that was more affected as compared to the females with male to female ratio of 2.22:1. Study done by Kothari K et a1 41 in 2001 showed that 90% of the cases were in the age group of 20 to 40 years and male population constituted 83.33% with male to female ratio of 5 : 1. In a study done by Mandal A.K et a1 7 2 , 81.16% of cases were in the age group of 20 to 40 years with male to female ratio of 1.5: 1. The age of the patients in the present study ranged from 20 to 61 years with 90% males and 10% females with a male to female ratio of 9 :1. The incidence of maximum number of HIV infected cases in the age group of 20 to 40 is comparable with other studies. This finding of male preponderance is comparable with other studies that the incidence of HIV infection is more common in males than females. This data suggests that sexually active population is more affected. The comparable studies are shown in a tabular column below. Total Study series number of patients patients Males Females 21- 40 M:F in % in % years in% Mandal A.K 72 et al 88 60.87 39.13 1.5:1 81.16 30 83.33 16.66 5:1 90 2801 68.97 31.02 2.22 :1 88.1 50 90 10 9:1 70 (2000) Kothari K 41 et al (2001) Ghate M.V 71 et al (2002) Present study 2. Occupation: M a n d a l A . K 7 2 et al in his study found that the main risk groups were truck drivers and labourers. Study done by Kothari K41 et al showed that major risk group were people in transport services constituting 40% of all cases. In the present study people in transport services constituted 34% of all cases and Hotel workers constituted 22% of all cases. This finding is comparable with other studies that the incidence of HIV infection was high among people working in transport probably because of longer duration of stay away from the family. Occupation Mandal AK 72 et al (2000 in %) Transport 11.36 Labourer 17.05 Kothari k 41 et al (2001 in %) 40 20 Present Study (%) 34 16 Farmers - 16.67 10 Hotel worker - - 22 Female sex worker 10.22 - - Others 61.36 23.33 18 3. Mode of transmission: John T.J 8 4 et al in his study showed that 90% of the patients had multiple sex partners and heterosexual route was the major mode of transmission. Rajasekaran S73 et al showed heterosexual promiscuty in 74.4% of patients. Of the remaining, 15.38% were females who had acquired the infection through their HIV infected husbands while remaining 10.25% constituted commercial sex workers and intravenous drug abusers. Kothari K41 et al in his study showed that heterosexuality accounted for 90% of the total cases. In this study, heterosexual mode of transmission was the major mode of transmission in 64%; 10% showed homosexual and in the remaining 24% of the cases reliable history could not be elicited. This finding is not comparable with other studies. 4. Presenting symptoms A study of common presenting symptoms and signs was made. We noted that fever and weight loss were the most common presenting symptoms constituting 80% and 84% of cases respectively. This finding is comparable with other studies done by Colebunders R 7 4 et al, showed fever and weight loss in 21.83% and 29.31%, Lakshmi V . 7 8 et al in 61% and 45%, Kothari K4 1 et al in 96% and 66% of cases. Then next common symptom in our study was cough > 1 month in 58% of cases which was comparable with study done by Kothari K 4 1 et al who showed cough > 1 month in 60% of cases. However in studies done by Colebunders 74 R et al and Lakshmi V 7 8 et al, only 15.5% and 11% of cases had cough respectively. We see that present study has reported a higher incidence of cough >1 month as compared to the two above mentioned studies. This could be explained by higher incidence of tuberculosis in the present study. Next common symptom reported in the present study was diarrhea >1 month, in 22% of cases. This finding is comparable with studies done by Lakshmi V78 et al and Kothari K41 et al which showed an incidence of 23% in both the studies. However in a study done by Colebunders R the above mentioned symptom was seen in only 9.77% of cases, which is lower incidence compared to the present study. Pain abdomen was seen in 20% of cases in the present study. However Lakshmi V78 et al reported in 9% of cases and Kothari K 4 1 et al in 6.6% of cases. This study showed a higher incidence of this symptom compared to the above mentioned studies. Altered sensorium was seen in 4% of cases in present study. Kothari K41 et al reported the same in 26% of cases. The present study had recorded a lower incidence as compared to the study done by Kothari K et al, probably due to the small study group in our study when compared to the other. Dysphagia was seen in 4% of cases in the present study.However Kothari K41 et al reported in 30% of cases. The table showing the comparable studies is given below Colebunder R 74 et al (1987) % Lakshmi Kothari Present V78 K 41 et al Study et al (1998) (2001) % % Fever > l m o n t h 21.83 61 96 80 Weight loss >10% 29.31 45 66 84 Cough >Imon th 15.51 11 60 58 Diarrhea > I month 9.77 23 23 22 Pain abdomen - 9 6.6 20 Altred sensoru m - - 26 4 Dysphagia - - 30 4 5. Clinical findings in general examination: The present study showed that skin lesions were present in 12% of patients, oral candidiasis in 26%, significant lymphadenopathy in 40% and genital ulcer in 2% of cases. Much lower incidence were reported in studies by Colebunders R 7 4 et al, who reported skin lesions in 4.02%, oral candidiasis in 9.77%, lymphadenopathy in 7.47% and genital ulcer in 2.87%. Lakshmi V 7 8 et al reported oral candidiasis in 6%, lymphadenopathy in 6% and genital ulcer in 5% of cases. However Kothari K41 et al reported a much higher incidence of skin lesions in 33%, oral candidiasis in 70%, lymphadenopathy in 43% and genital ulcers in 23% of patients. The table showing comparable studies is given below. Oral Skin Lymphadeno Study Series candidiasis Lesions% pathy % % Genital Ulcer% Colebunders R74 et al(1987) 4.02 9.77 7.47 2.87 Lakshmi V78 et al(1998) - 6 6 5 Kothari K41 et al(2001) 33 70 43 23 Present study 12 26 40 2 Opportunistic infections and other associated conditions i n H I V infected cases: a. Tuberculosis: In the present study most common opportunistic infection was tuberculosis with an incidence of 68%. 38.23% had only pulmonary tuberculosis, 38.23% had only extrapulmonary tuberculosis and 23.54% had both pulmonary and extra pulmonary tuberculosis. However much higher incidence of pulmonary tuberculosis and lower incidence of extra pulmonary tuberculosis was shown by other studies done by Hira S.K76 et al who reported 65.34% pulmonary, 27.84% extra pulmonary and 6.82% both pulmonary and extra pulmonary tuberculosis. RajasekaranS73et al showed 55.6% of pulmonary tuberculosis and 30.5% combined disease. Zuber Ahmed77et al showed 74.7% pulmonary tuberculosis, 19.8% extra pulmonary tuberculosis and 5.5% combined disease. However Chacko S 40 et al reported a lower incidence of pulmonary tuberculosis of 30% and higher incidence of combined disease with 48% and extra pulmonary tuberculosis constituting 22%, when compared to above mentioned studies. The comparable studies are given below : Tuberculosis Chacko Hira S4 0 et al S.K7 6 et (1995) al(1998) % Pulmonary Extra pulmonary Combined* % R a j a e karan S 73 et al (2000) % Zuber Ahmed77 Present et al Study (2003) % 30 65.34 55.6 74.7 38.23 22 27.84 13.9 19.8 38.23 48 6.82 30.5 5.5 23.54 * Both pulmonary and extrapulmonary Chest X-ray Findings and HIV infection : In the present study, 28 patients showed radiological abnormalities with upper zone lesions in 17.8%, B/L infiltrations in 46.42%, lower zone lesions in 10.71%, pleural effusion in 10.71%, pneumothorax in 3.57%, miliary shadow in 7.14% and cardiomegaly in 3.57%. These findings were comparable with other studies done by Chacko S 40 et al who reported upper zone lesions in 26.92%, B/L infiltrations in 23.07%, lower zone lesions in 7.69%, pleural effusion in 15.38%, pneumothorax in 3.84%, military shadows in 3.84% and hilar adenopathy in 19.23%. Arora 79 et al reported upper zone lesions in 17.65%, B/L infiltrations in 29.42%, lower zone lesions 11.75%, pleural effusion in 17.65%, military shadows in 5.89% and hilar adenopathy in 17.65%. However Agarwal 75 et al reported a higher incidence of typical upper zone lesions in 57.1%, B/L infiltrations in 28.5% and lower zone lesions in 14.3% of cases Table showing comparable studies is given below Aggarwal S.K 75 et al (1993) % Chacko S40 et al (1995) 17.65 26.92 57.1 17.8 29.41 23.07 28.5 46.42 11.75 7.69 14.3 10.71 17.65 15.38 - 10.71 - 3.84 - 3.57 5.89 3.84 - 7.14 B/L hilar B/L hilar Radiological Arora lesions Upper zone 79 et al (2003) Present Study lesions B/L infiltrations Lower zone lesions Pleural effusion Pneumothorax Military shadows Cardiomegaly - Any other adenopathy adenopathy 17.65 19.23 3.57 Neurological manifestations in HIV disease: In the present study, 28% of patients had neurological complications. Of these 50% of patients had meningitis with all the cases being tubercular meningitis. We did not have any patients with cryptococcal meningitis. However studies done by Lakshmi 78 et al reported meningitis in 70.59% of cases with 76.16% of them being tubercular, cryptococcal meningitis in 12.5% of cases and syphilitic meningitis in 8.33% of cases. Sircar AR 81 et al reported meningitis in 58.33% of cases with tubercular meningitis in 42.86% of cases and cryptococcal meningitis in 57.14%. Wadia R.S 80 et al reported meningitis in only 17.88% of cases with majority of them being cryptococcal in etiology constituting 67.44% of the total meningitis cases. Tubercular meningitis was seen in 18.6%, aspectic meningitis in 4.65%, pyogenic meningitis in 5.81%, syphilitic in 2.32% and both cryptococcal and tubercular meningitis in 1.16%. The above two mentioned studies reported much higher incidence of cryptococcal meningitis when compared to the present study. This could be explained by very large sample size in those studies. The present study showed tuberculoma in 14.28% of cases, spinal cord involvement in the form of myelo radiculopathy in 14.28%, AIDS dementia complex in7.14% and progressive multifocal leuco encephalopathy in 14.28%. However the other studies had not reported any cases of progressive multifocal leuco encephalopathy or muscular dystrophies or myopathies. Lakshmi78 et al had reported tuberculoma in 5.88% of cases, myelo radiculopathy in 5.88% of cases and toxoplasma infection in 17.65% in contrast to the present study where we did not find toxoplasma infection affecting central nervous system in any case. Sircar AR 81 et al reported AIDS Dementia complex in 16.67% of cases and sensori motor neuropathy in 25% of cases. Wadia RS 80 et al reported myelopathy in 4.36% of cases, ADC in 4.36%, neuropathies in 28.27% of cases and cranial neuropathies, seizures-, headache strokes, altered sensorium, meningism constituted 45.13% of cases. However present study did not report any neuropathies in comparison to the above two studies. The table showing the comparable studies is given below: Sircar A R 8 1 et al et al (1998) (1998) Lakshmi 78 Meningitis a. b. c. d. e. f. Tubercular Cryptococcal Aseptic Pyogenic Syphi litic Combined Wadia R.S 80 Present et al Study (2001) 17.88 50 70.59 58.33 79.16 12.5 8.33 - 42.86 57.14 - 18.6 67.44 4.65 5.81 2.32 1.16 100 - Tuberculoma 5.88 - - 14.28 Myelopathy/ Myeloradiculopathy 5.88 - 4.36 14.28 - 16.67 - 7.14 - - - 14.28 Toxoplasma17.65 Neuropathy – 25% AIDS Dementia Complex Myeloradiculopathy Progressive Multifocal Leucencephalopathy Any other Neuropathy– 29.27% Others – 45.13 - Sexually transmitted diseases (STD) and HIV The present study reported one patient having Hepatitis B and one patient with genital gonorrhoea constituting 2% each of total cases. This finding is comparable with study done by Lakshmi 78 et al which reported Hepatitis B in 2.3% of cases and Syphilis in 0.5% of cases. However much higher incidence of STDs was reported by Shah H82 et al who showed presence of syphilis in 10% of cases, Chancroid in 10%, Herpes genitalis in 15%, Condyloma accuminata in 10%, balonoposthitis in 30%, Candidialvaginitis in 15% and non specific urethritis in 10% of cases. Sayal SK 83 et al reported chancroid in 32.5%, syphilis in 23%, LGV in 11.9%, gonorrhoea in 2.6% and herpes genitalis in 3.2% cases. This higher incidence of STD could be explained because their study was conducted in patients attending STD clinics. Secondary bacterial infections and HIV In the present study, out of 50 cases, 2 cases had pneumonia caused by gram negative bacilli and 1 patient had chronic suppurative otitis media. However in a study done by Kothari K 41 et al reported secondary infections in 7 patients (7/30) out of which 3 had pneumonia, 2 had lung abscess, 1 case had pyogenic meningitis and 1 had acute suppurative otitis media. Chacko S 40 et al reported 18 cases of secondary infection with 11cases of pneumonia, 3 had urinary tract infection, 2 had enteric fever, 1 borderline lepromatous leprosy and 1 had gastroenteritis due to Shigella Sonnei. The present study reported lesser incidence of secondary bacterial infections when compared to the above mentioned studies. Persistant Generalised Lymphadenopathy (PGL): The present study reported PGL in 2% of cases which was much lower when compared to studies done by Kothari K 41 et al who reported PGL in 20% of cases and Sircar 81 et al in 22.5% of cases. Renal involvement and HIV: The present study reported 1 (2%) case of chronic renal failure and 1 (2%) case of HIV associated nephropathy. This finding is comparable with the study done by Kothari K4 1 et al who reported HIV associated nephropathy in 3.3% of cases and renal involvement in the form of albuminuria and hematuria in 7% of cases. Malignancies and HIV : The present study reported 1 case of Non Hodgkin's lymphoma and 1 case of suspected Kaposi's sarcoma which is comparable with other studies done by Kothari K41 et al who reported 1 case of Non Hodgkins lymphoma. Chacko S40 et al reported 1 case of Non Hodgkins lymphoma and 2 suspected lymphomas where definitive diagnosis could not be done because of lack of facilities. In many resource poor countries, clinicians are severely limited in the use of standard of care assays to help determine disease progression in HIV positive patients. This limitation can result in a potentially dangerous postponement of the initiation of antiretroviral therapy. 110-116 Previous studies had shown that TLC is a low cost and useful tool for monitoring HIV progression and triggering Opportunistic infection prophylaxis in resource poor settings. In these settings WHO recommends using the total lymphocyte count (TLC) as a surrogate marker for the CD4 T cell count. If the CD4 lymphocyte count is not available, WHO recommends initiating HAART in WHO stage II and III disease when accompanied by a TLC of less than 1200 cells/cmm. Depletion of CD4+ T cells is one of the hallmarks of progression of HIV-1 infection and CD4 count has been established to be a standard laboratory marker of disease progression in HIV3, 114,. However in many resource limited countries, the cost of CD4 count are so high relative to reduced prices of antiretroviral drugs, that routine monitoring of therapy would often be more expensive than the supply of drugs themselves. Also unavailability of sophisticated laboratory equipments to measure CD4+ count preludes their use in large parts of the world. Previous studies had suggested that the total lymphocyte count (TLC) can be used to predict a low absolute CD4+ T cell.3,102-105, According to WHO recommendation, when CD4 testing is unavailable, then patient can be started on HAART therapy, if patient has WHO stage IV disease irrespective of total lymphocyte count. WHO stage II or III disease with total lymphocyte count 1200 cells/cmm. Treatment is also recommended for patients with advanced WHO stage II disease including recurrent or persistent oral thrush and recurrent invasive bacterial infections irrespective of CD4 count or TLC. We undertook to look at the correlation between the CD4 count and TLC in HIV patients with advanced disease. CD4 counts of 200 or less were correlated with total lymphocyte count of 1200 or less. It was also noted that patients had a mean CD4 count of 175 cells/mm 3 and patients had a mean TLC of 1338 cells/mm3. These observations were comparable with other study groups. On calculating linear correlation between CD4 count of <200 cells/mm3 and TLC of <1200 , there was high statistical significance with sensitivity of 91%, specificity of 53% and positive predictive value of 70% . The scatter diagram shows that as the CD4 count level increases the TLC level also increases and there was a significant correlation between CD4 and TLC. The values of our study were correlated with other national and international studies Place NO. of pts John Hopkins University 1451 Aim Correlation TLC & Hb% to predict CD4 <200 before initiation of HAART Sensitivity 78% 70.7% YRG centre for AIDS research and education Chennai, India To evaluate the correlation of TLC to CD4 count 73% Specificity YMCH, Mangalore 50 To correlate b/w CD4 count & TLC 91% TLC <1200 cells/mm3 significantly predict CD4 count <200 <1200 TLCC <1200 cells/mm3 significantly predict CD4 count <200 81.8% <1400 Correlated with CD4 <200 cell/mm3 TLC <1700/ CD4<350 Significant correlation b/w TLC<1700 and CD4 <350 cells/mm3 50% 86% 53% Results <1200 37.3% 650 70% TLC for CD4 <200 cells/mm3 TLC of Significant 1200 or correlation less b/w CD4 <200 correlate & TLC 1200 with CD4 count 200 Apart from the studies mentioned above, R Wood, F Post and G Maartene, (CapeTown, South Africa).117 also studied CD4 and total lymphocyte counts as predictors of HIV disease progression and concluded that for each clinical stage, a significant difference in progression to AIDS and mortality was predicted by TLC above or below 1250 cells/mm3. Survival and progression to AIDS occurred at similar rates in patients with TLC 1250 cells/mm3 or CD4 count of 200 cells/cmm. Another study done by Beck EJ106 et al, at Academic Department of Public Health, St Mary's Hospital Medical School, London, UK on 1534 paired Total Lymphocyte count and CD4 count, a significant correlation did exist and the high correlation between total and CD4 lymphocyte counts, especially for patients with symptomatic HIV disease, demonstrated the suitability of the use of TLC in the absence of CD4 counts. Given the considerably lower prices of TLCs compared with T- cell subset analysis, this is particularly relevant for developing countries106 To summarize, a total of 15,102 patients enrolled in 15 different studies was followed up to determine the ability of the total lymphocyte count to predict the CD4 cell count and HIV disease stage. 108 Eleven of these studies (which induced a total of 11,713 patients) contained data that, overall, indicated support for the predictive ability of the total lymphocyte count, where as four had concluded that TLC was not a reliable predictor of the CD4 cell count.108 Studies done in John Hopkins University Bloomberg School of Public Health analyzed stated that a TLC decline of greater than 10% per year and Hemoglobin decline of greater than 22% per year was noted in over 77% of study participants who developed AIDS109-110 The pattern of CD4+ counts over time is more important than any single CD4+ count value. CD4+ counts generally decrease as HIV progresses. Therefore it is more valuable to evaluate a series of CD4+ counts than any single count.110 As the CD4 count is affected by the time of the day (lower in the morning), in acute illness, refrigeration of blood sample (decrease CD4+ counts) or with rough handling or contamination of blood sample , serial recording of TLC and hemoglobin can give an equally stable reflection of progression of disease and development of AIDS in HIV positive patients.108 It becomes more feasible specially in developing countries as a CD4 count costs around $ 30 US while TLC costs around 0.80 US $, 107 monitoring the patient with TLC will have an enormous cost benefit in patients with limited resources. Limitations of this study necessitate further investigations. As this was an observational study of subjects in Mangalore , more assessment of TLC using data from the target countries are needed. Conditions specific to resource limited settings, such as the higher prevalence of leucocytosis due to inter current infections, may influence the interpretability of changes in TLC. Further, as has been shown with CD4 count, TLC values as well as the dynamics of the measure may vary across different ethnicities. Region-specific validation of CD4 and TLC changes on HAART are needed. Also, TLC measured by complete blood count may not be possible in very low income countries or remote regions. Therefore, the evaluation of TLC measured by light microscopy and manual cell counting may be beneficial. 7. CONCLUSION In this study we conclude that most of the clinical observations were in accordance with the other studies conducted earlier. The study showed male preponderance with heterosexual mode of transmission being the commonest mode of transmission. Fever, weight loss and diarrhea continue to be the presenting symptoms. Tuberculosis was the most common opportunistic infection. Among various neurological manifestations, tubercular meningitis was the commonest and unlike in other studies, there was absence of cyptococcal meningitis and toxoplasmosis in our study. Thus HIV infection can present with varied manifestations depending on geographic, socio-economic and cultural environment and thus needs a high index of suspicion for early detection of case and management. Our study shows a definite correlation between TLC and CD4 count in HIV positive patients. CD4 counts of less than 200 cells/mm3 showed a satistically significant correlation with TLC of less than 1200 cells/mm3 TLC can be substituted for the CD4 count when the latter is unavailable and HIV related symptoms exist. TLC could be used as a low cost tool and as a surrogate marker for monitoring HIV disease and its progression. These results could be very useful for regions with scarce health care resources as an alternative way of identifying individuals who should receive HAART therapy for HIV infection. We believe further research in appropriate population is warranted. For the people who may not be able to afford the treatment and may get free supply of antiretroviral medicine, TLC can serve as a cost effective, affordable index to start HAART treatment and also to monitor HAART treatment 8. SUMMARY A prospective study of 50 cases of HIV infected cases was done, diagnosed on the basis of a positive rapid spot test and confirmed by positive ELISA, admitted to Yenepoya Medical College Hospital between october 2005 to september 2007. Available literature on HIV infection was scrutinized. The study showed a male to female ratio of 9:1 and the maximum incidence was seen between 20 to 40 years. The study showed more incidence of HIV infection among people working in transport as drivers, with heterosexual mode of transmission as the most common mode of transmission. Most common presenting symptoms were weight loss and fever >1 month. Among the other associated symptoms cough > 1 month was seen in 58%, diarrhea > 1 month in 22%, pain abdomen in 20%, altered sensorium and dysphagia in 4% each. Skin lesions were seen in 12% of the cases, oral candidiasis in 26%, lymphadenopathy in 40% and genital ulcer in 2%. Tuberculosis was the most common opportunistic infection seen in this study, that is in 68% of cases. Neurological complications were seen in 28% of patients, most common being tubercular meningitis in 50% of cases. Other sexually transmitted diseases were seen in only 2 patients, 1 had hepatitis B and the other had genital gonorrhoea. Persistant generalized lymphadenopathy was seen in 1 case. In this study, 1 case had HIV associated nephropathy and 1 case had chronic renal failure. Out of 50 cases, 1 case had Non Hodgkin's lymphoma and 1 case had suspected Kaposi's Sarcoma, which needed further study by immune histo chemistry. This study showed a definite correlation between TLC and CD4 count in HIV positive patients. Based on this study TLC of 1200cells/mm3 may be substituted for CD4 count of 200 cells/cmm, when CD4 count is unavailable and HIV related symptoms exist. Thought for the future On the eve of World AIDS Day in December 2003, as WHO released its 3 by 5 programme, the Government of India announced a commitment to begin providing antiretroviral treatment free of charge to selected group of patients in April 2004 and to place 1 lakh people on HAART treatment within a year. WHO HIV/AIDS specialists are being deployed to each of the six high burden states, with other initiatives aimed at supporting the country on issues such as clinical management, drug procurement, laboratory support and routine monitoring and evaluation. Therefore in resource limited settings, like our country, total lymphocyte count can be used as a surrogate for initiating and monitoring HAART therapy. 9. BIBLIOGRAPHY 1. Global programme on AIDS July 3, 1995. The current global situation of HIVAIDS pandemic, Geneva: World Health Organization. 2. Dowbenko D, Nakamura G, Fennie C, et al. Epitope mapping of the human immunodeficiency virus type 1 gp120 with monoclonal antibodies. J Virol. 1988 Dec;62(12):4703-11. 3. Kumarasamy N, Mahajan AP, Flanigan TP, et al. Total lymphocyte count (TLC) is a useful tool for the timing of opportunistic infection prophylaxis in India and other resource-constrained countries. J Acquir Immune Defic Syndr. 2002 Dec 1;31(4):378-83. 4. Centres for disease control Revision of the case definition of Acquired immune deficiency syndrome for national reporting-united states. Ann Intern Med 1995; 103: 402-403. 5. UNAIDS. Global Aids epidemic update: December 2000and report on the global HIV/AIDS epidemic june 05. www.unaids.org/epidemic-update/report june05/index.html (accessed on August 29, 2007). 6. UN Agencies, World bank, UNAIDS Epidemiological Fact Sheet - 2000, Census of India - 2001, National AIDS Control Organisation – India 7. Cohen OJ, Fauci. Host factors that affect sexual transmission of HIV. Int.J. Infect.Dis., 1998; 2: 182-185. 8. Grossmann, Feinberg MB, Paul ME. Multiple modes of cellular activation and virus transmission in HIV infection; a role for chronically and latently infected cells in sustaining viral replication. Proc Natl Acad Sci USA, 1998; 95; 63416349. 9. Colebunders RL, Ryder R, Saresella M. Seroconversion rate,mortality and clinical manifestations associated with the recept of HIV infectedblood transfusions in kinshara, Zaire. Infect Dis. 1991 ; 164 : 450-456. 10. Des Jariais DC, Friedman SR, choopanya K, Vanichseni S, ward TP. International epidemiology of HIV and AIDS among injecting drug users. AIDS; 1992; 6: 1053-68. 11. Water JK, Estillo MJ, clarkGL, Corrick J, Syringes and needle exchange as HIV/AIDS prevention for injection drug users. JAMA 1994 ; 271: 115-20. 12. Gerberding JL, Management of occupational exposures to blood borne viruses. NEJM 1995 ; 332: 444. 13. European collaborative study. Cesarean section and risk of vertical transmission of HIV-1 infection. Lancet, 1994 ; 343: 1463-67. 14. Connor EM, Reduction of maternal infant transmission of HIV-1 with zidovudine treatment. NEJM 1994 ; 331: 1173-80. 15. Dunn DT, Newell ML, Ades AE, Peckham CS. Risk of human immunodeficiency virus type 1 transmission through breastfeeding. Lancet: 1992 ; 340 : 585-88. 16. Grant AD, Djomand G, De Cock KM, Natural history and spectrum of disease in adults with HIV/AIDS in Africa. AIDS 11: 1997; 543-554. 17. Francis DP, Jaffe HN; Futz P.N. The natural history of infection with the lymphadenopathy- associated virus human T- lymphotropic virus type III. AnnIntern Med 1985 ; 103: 719-722. 18. Anzala OA, Nagelkerke NJ, BwayoJJ, Rapid progression to disease in African sex workers with human immunodeficiency virus type 1 infections. J infect Dis, 1995 ; 171: 686-689. 19. Morgan D, Maaude GH,Malamba SS. HIV – 1 disease progression and AIDS defining disorders in rural Uganda. Lancet, 1997 350: 245-250. 20. Gottleiueb MS, Groopman J.F, Weinstien W.M. The Acquired Immunodeficiency syndrome: 1992; 9(9): 883-9. 21. Kaur. Clinical and laboratory profile of AIDS in India. Journal of Acquired Immuno deficiency syndrome: 1992 ; 5(9):883-9. 22. Anuradha S. Sunithi Solomon, Raja Sekaran S. HIV seropositivity in patients with respiratory disease. Indian Journal of tuberculosis, 1993 ; 40:13-15. 23. Ghate MV, Mahendale SM, Mahajan BA, Relationship between clinical conditions and CD4 counts in HIV infected persons in Purse, India. Natl Med J. India 2000 ; 13; 183-7. 24. Ramachandra R, Datta M, Subramani R, Seroprevalence of human immunodeficiency virus infection among tuberculosis patients in Tamil Nadu. Indian J Med Res, 2003 ; 118: 147-151. 25. Telzak EE, Tuberculosis and human immunodeficiency virus infection. Med Clin North Am 1997 ; 81:345-60. 26. Leroy V, Salini R, Dupon M. Progression of human immunodeficiency virus in patients with tuberculosis disease. AM J epidemiol, 1997 ; 145:293-300. 27. Swaminathan S, Ramachandran R, Baskaran G, Paramasivan CN, Ramanathan U, Venktesan P et al. Risk of development of tuberculosis in HIV infected patients. Int J. tubers Lung Dis; 2000 ; 4:839-44. 28. Sharma SK, Saha PK, Dixit Y, Siddarmaiah NH, Seth P, Pande JN. HIV seropositivity among adult tuberculosis patients in Delhi. Indian J Chest Dis Allied Sci; 2000 ; 42; 157-60. 29. Talib SH, Barisal MP, Kamble MM. HIV-1 seropositivity in Pulmonary tuberculosis. Indian J Pathol Microbiol; 1999 ; 36: 383-8 30. Tripathy S, Joshi DR. Mehendale SM, Menon P, Joshi AN, Ghorpade SV, et al. Sentinel Surveillance for HIV infection in tuberculosis patients in India. Indian J Tuberc; 2003: 49; 17-20. 31. Jain NK, Aggarwal JK, Chopra KK, Khanna SP. Prevalence of HIV infection among tuberculosis patients Indian J Tuberc; 1996; 43; 105-106. 32. Deos. Prevalence of HIV infection in patients with tuberculosis. Ind J. Tuberc; 1995 ; 42: 183-185. 33. Solomon S, Anuradha S, Raja Sekaran S. Trend of HIV infection in patients with pulmonary Tuberculosis in South India. Tuberc Lung Dis. 1995 ; 16:17-9. 34. Singh YN et al. Pneumocystis Carinii infection in patients of AIDS in India. Journal of Association of Physicians of India,; 1993 41(1):41-2. 35. Center for disease control update. Acquired Immuno-deficiency Syndrome United States MMWR, 1986; 35:17-21. 36. White DA, Gold JWM. Medical management of AIDS patient. Med Cl in N America; 1992; 76(1): 107-119. 37. Klein R.S. Oral candidiasis in high risk patients as the initial manifestations of AIDS. N Engl J Med,: 1984 ; 311:354. 38. Mannheimer SB, Soave R: Protozal infections in patients with AIDS, crypto sporidiosis, isosporiasis, cyclosporiasis microsporidiosis. Infect Dis, clinic North Am 1994 ; 8: 481-505. 39. Quinn TC, Mann JM, Curren JW. AIDS in Africa: an epidemiologic paradigm. Science; 1986 ; 234:955. 40. Chacko S, John TJ, Babu PG, Jacob M, Kaur A, Mathai D. Clinical profile of AIDS in India; a review of 61 cases. J Assoc Physicians India ; 1995 ; 43:535-8. 41. Kothari K., Goyal S; Study of clinical presentation, spectrum of systemic involvment and opportunistic infections in AIDS patients Journal of Association of Physicians of India. 2001;49:435-438. 42. Lanjewar DN, Wagholikar U.L. Mycobacteriosis emerging as most common infection in AIDS victims in India. Int Conf AIDS; 1992; 8(2):b179. 43. Grunfeld C, Friengold KR, Metabolic disturbances and wastng in the acquired immunodeficiency syndrome N Engl J.Med: 1992; 327;329-37. 44. Kotler DP, Tierney AR, Pierson RN. Magnitude of body –cell –mass depletion and the timing of death from wasting in AIDS. Am J Clin Nutr; 1989 ; 50; 4447 45. Nahlen BL, Nwangyanwu OC, Chusy, Berkelman RL, Martinez SA, Rullan JV, HIV wasting syndrome in the United States AIDS; 1993 ; 7:183-8. 46. Gaines H, Von Sydow M, Pchrson PO. Clinical picture of primary HIV infection presenting as a glandular fever like illness . Br. Med J.; 1998; 297;1363-8. 47. Penneys NS, Skin Manifestations of AIDS. London: Dunitz, 1990. 48. Cesarman, Kaposi's Sarcoma associated Herpes virus like DNA sequences in AIDS related body cavity based lymphomas. N Engl J Med. 1995 ; 332: 1186. 49. Changy, Identification of herpes like DNA sequences in AIDS associated Kaposi's sarcoma. Science 1994 ; 266: 1865. 50. Smith KJ: Cutaneous findings in HIV-1 positive patients a 42 – month prospective study. J Am Acad Dermatol 1994 ; 31:746,. 51. Fauci As, Lane HC, HIV disease; AIDS and related disorders: Harrison's principles of internal medicine, 14`h ed Newyork: McGraw Hill publications. Vol. 2; 1998; 1841-42. 52. Thiruvulluvan N: Clinical spectrum of full blown AIDS in India– A review. Int conf AIDS,: 1993; 9(1): 304. 53. Hamide A, Ambing H, Kumar K, Rao K.S, Das A.K. Thrombocytopenia – A manifestation of HIV –1 infection in a heterosexual male. Journal of Association of Physians of India.: 1992 ; 40(10) :697-8. 54. Kovacs. L, Roberstson GL: Syndrome of in appropriate antidiuresis. Endocrinol Metabol Clin North Am 1992 ; 21:859. 55. Humphreys MH, Schoenfeld P.Y, Renal Complications in patients with AIDS. Am J Nephrol; 1987 ; 7 : 1-7 56. Humpreys M. H:Human Imunodeficiency virus associated glomerulosclerosis. Kidney Int. 1995 ; 48:311, 57. Sealy FD. Acquired Immunodeficiency syndrome and Kidney. Am J Kidney Dis. 1990; 16;1 , 58. Baingana G, Katabira E, Hellman. Neurological disease in Ugandan AIDS patients, Int conf AIDS. 1991 ; 7(1):187. 59. Price RW: Neurological complications of HIV infection. Lancet 1996; 348; 445-452. 60. Holtzman DM; New onset seizures associated with human immunodeficiency virus infection; causation and clinical features in 100 cases. Am J med 1989; 87: 173. 61. Collier AC; Central nervous system manifestations in HIV infection without AIDS. J Acquir Immune Defic Synd, 1992; 5: 229. 62. Levy R.M, Bredeson DE, Central nervous system dysfunction in AIDS. Raven Press, 1988 ; 29-63. 63. Krown SE: Kaposi's Sarcoma in the acquired immune deficiency syndrome: A proposal for a uniform evaluation, response and staging criteria. J Clin Oncol 1989 ; 7: 1201. 64. Knowles DM, Chanulak GA, Subar M. Lymphnode neoplasia associated with AIDS. The New York University experience Ann Int Med 1988 ; 108:144-53. 65. Suramanian S, Krishnarathnam K, Vijayasarathy K. NonHodgkins lymphoma in AIDS, Journal of Association of Physicians of India. 1989 ; 37(3) : 230-1. 66. Saparano JA. Treatment of AIDS related lymphoma: curropin oncol 1995 ; 7: 442, 67. Morse SA, Trees DL, Htuny. Comparision of clinical diagnosis and standard laboratory and molecular methods for the diagnosis of genital ulcer disease in Lesotho: association with human immunodeficiency virus infection. Int. J Infect Dis 1997; 175: 583-589. 68. Rompalo AM, shepherd M, Lawlor JP. Definitions of genital ulcer disease and variation in risk for prevalent human immuno deficiency virus infection. J Sex Trans Dis, 1997 ; 24:436-442. 69. Rodrigues JJ, Mechendale SM, Shepherd ME. The biological and behavioural risk factors for prevalent HIV infection in sexually transmitted disease. Clinics in India. Br. Med. J: 1995; 311: 283-86. 70. Quinn TC, Glasser D, Cannon Ro. Human immunodeficiency virus infection among patients attending clinics for sexually transmitted disease. N Engl J Med: 1988 ; 318:197-203. 71. Ghate M.V., Divekar A.D, Risbud AR. Changing Trends in clinical presentation in referred Human immunodeficiency virus infected persons in Pune, Indian Journal of Association of Physicians of India 2002 ; 50: 671- 673. 72. Mandal AK, Singh V. P., Gulati AK. Prevalence of Human Immuno deficiency virus infection in and around Varanasi, Uttar Pradesh. Indian Journal of Association of Physicians of India. 2000 ; 48 (3) 288 – 289. 73. Rajasekaran S., Uma A, Kamakshi. Trend of HIV infection in patients with tuberculosis in rural south India. Ind. J. Tub, 2000 ; 47: 223-226. 74. Colebunders Robert, Mann JM, Henry Francis, Kapita Bila, Lebughe Izaley, Ndangikakonde et al. Evaluation of clinical case Definition of Acquired immuno deficiency syndrome in Africa. Lancet. 1987 ; 492 – 494. 75. Agarwal SK,Makhija Aman , Singh N.P. Tuberculosis in HIV/ AIDS patients in a tertiary care hospital in Delhi. Ind. J. Tub, 2003 50; 163 – 165. 76. Hira S.K, Dupont H.L, Lanjewar D.N. Severe weight loss; the predominant clinical presentation of tuberculosis in patients with HIV infection in India. Natl. Med J.India; 1998; 11: 256- 258. 77. Ahmed Zuber, Bhargava Rakesh, Pandey D.K. HIV infection seroprevalence in tuberculosis patients. Ind. J. Tub, 2003 ; 50: 151-154. 78. Lakshmi V, Teja V.D., Sudha Rani T. Human immuno deficiency virus infection in a Tertiary care Hospital – Clinical and microbiological profile. Journal of Association of Physicians of India. 1998 ; 46; 363 – 367. 79. Arora VK, Seetharam ML, Gowrinath K, Lung and HIV infection with special reference to tuberculosis; Preliminary report on 20 HIV – 1 seropositive cases . Ind J. Chest Dis Alli Sci 1993; 35: 103 -112. 80. Wadia R.S, Bijari S.N, Kothari S, Neurological manifestations of HIV disease. Journal of Association of Physicians of India 2001 ; 49; 343 – 348. 81. Sircar AR, Tripathi AK, Choudhary S.K, Misra R. Clinical profile of AIDS ; a study at a tertiary hospital. Journal of Association of Physicians of India 1998 ; 46 : 775 – 778. 82. Shah H, Lakshmi J, Trivedi S. Cutaneous manifestations in HIV infected cases in rural hospital of Gujarat. Indian J Sex Transco Dis, 1998 ; 19 : 95-97. 83. Sayal S.K. Gupta C.M., Sangli S, HIV infection in patients of sexually transmitted disease . Ind J. Dermatoll Venereal Leprol, 1999 ; 55: 131-133. 84. John T.J, Babu P.G, Saraswathi N.K, The epidemiology of AIDS in the vellore region southern India. Journal of Acquired Immuno deficiency syndrome, 1993; 7(3): 421-424. 85. Lau B Gange SJ, Phair JP, et al. Rapid declines in total lymphocyte counts and hemoglobin concentration prior to AIDS among HIV-1 infected' men 2003, 17; 2035- 2044. 86. Kam KM Wong KH, Lee SS et al, Interpretation of CD4 + T lymphocyte values in different HIV-infected Populations J Acquir Immune Defic Syndr, 1998; 17 ;185-186. 87. Tuofu Zhu, Bette T Korber, Andre JNahmias et al. An African HIV-1 sequence from 1959 and implications for the origin of the epidemic. Nature 1998. 391; 591-597. 88. Mandell G.L. Douglas R.G Jr. and Bennett Je Principle and Practice of Infectious diseases, Vol-1 5h Edition, New York, Churchill Livingstone. 2000; 18741887. 89. Jeffrey D. Lifson, Gregory R. Reyes, Michael S, Mcgrath, et al. AIDS retrovirus induced cytopathology. Giant cell formation and involvement of CD4 antigen. Science 1986, 232 ; 1123-1127. 90. Tristram G Parslow, Daniel P Stiles, Abba L Terr, John B Imboden. Medical Immunology, 10th Edition Mcgraw-Hills 2001; 234-235. 91. .Braunwald, Anthony S Fauci, Kasper, Hauser, Clifford lane. Harrison's Principles of internal medicine volume – 1 16th edition McGraw-hills 2001, 1076-1139 92. John W Mellors, Charles R Rinaldo Jr, Phalguni Gupta et al. Prognosis in HIV1 infection predicted by the quantity of virus in plasma. Science 1996; 272. ;11671170. 93. Schaken T W, Hughes J P et al. Biology and Virology of primary HIV infection. Ann interm Med 1998; 128 613-620. 94. Malone J L Simms T.E, Gray G. C, et al. Sources of Variability in repeated T helper lymphocyte counts from Human immunodeficiency virus type 1 infected patients.Total lymphocyte count fluctuations and diurnal cycle are important. J Acquir Immune Defic syndr. 1990; 3 ;144-151. 95. Stemmes, Kaliberg B, Quantitation and phonotyping of T cell clones by Flow cytometry. J Immunol Methods 1992;150 (1) ;107-114. 96. Issam Mansour, Phillipp Bourin, Philippe Rougher et al. A rapid technique for lymphocyte preparation prior to two color immunoflurescence analysis of lymphocyte subsets. Using flow cytometry comparision with density gradient separation J Immunol Methods 1990; 127 611-70. 97. Francis F Mandy, Michele Bergeron, diether Recktenwald et al. A simultaneous three colour T cell subsets analysis with single laster flow cytometer using T- cell gating protocol Comparison with conventional two color immunophenotyping method J Immunol Methods 1992; 156; 151-162. 98. Sherman G. G, Galpin J. S., Patel J. M et al. CD4 T-cell enumeration in HIV infection with limited resources. J Ommunol Methods 1999. 222 (1-2) 209-217 99. Global program on AIDS, diagnostic unit, office of Research 1992. An introduction to alternative methodologies for CD4 lymphocyte determination World Health Organization, Geneva. 100. John W. Mellors, Charles R Rinlado Jr, Phalguni Gupta et al. Prognosis in HIV1 infection predicted by the quantity of virus in plasma. Science 1996; 272;11671170 101. Fahey J.L., Taylor J.M.G., Detels R., et al. The Prognostic value of cellular and serologic markers of infection with human immunodeficiency virus type-1. N Engl. J. Med. 1990; 322; 166-172. 102. Costello, Karoloine, Nelson, Denise J MD et.al.- predictors of low CD4 count in resource limited setting: based on an antitretroviral naive heterosexual thaipopulation. JAIDS jurn of acquired immune deficiency syndromes June 1" 2005 39(2);242-248 103. Flanigan T, Kumaraswamy, S Solomon et. Al. TlyC as a surrogate for CD4 count to initiate and monitor HAART in resource limited countries. 9th conference on retroviruses and opportunistic infections, wattle, Washington, Feb 24-28 2002. 104. Schreibman T, Friedland G- use of Tlyc for monitoring response to ARV therapy, clip infect dis. 2004 jan 15; 38(2);257-62 105. Mwanbury DM, Ghosh M, Gorbsach SL, predicting CD4 count using TlyC: a sustainable tool for clinical decisions during HAART use. Am J Trop Hyg. 2005 july 73(1); 58-62 106. Beck EJ., Kupek EJ., Gompels MM, Pinching AJ , Correlation between total and CD4 lymphocyte counts in HIV infection not making the good an enemy of the not so perfect. Academic department of public health. St. Mary's Hospital Medical School, London U.K. int J STD AIDS, 1996 Oct 7(6) 422-8. 107. Mahajan AP., Hogan JW., Snyder B., Kumarsamy N, Mehta K., Solomon s. Carpenter CC., Mayer KH., Flanigan TP. Changes total lymphocyte count as a surrogate for changes in CD4 count following initiatition of HAART implications for monitoring in resource-limited settings. Acquir immune Defic Syndr 2004 Apr 20 ;36 (1); 567-575. 108. HIV Treatment Bulletin Volume 5 November 1 /2 February / March 2004. 109. AIDS development can be monitored and predicted Joint Hopkins University Bloomeberg School of Public Health 10 Sept 2003 Ohuph.edu). 110. Rapid declines in total lymphocyte counts and hemoglobin concentration prior to AIDS among HIV-1 infected men, appear in the official journal of the international AIDS Society Sept. 2003 issue of AIDS. 111. World Health Organization Scaling up antiretroviral therapy in resource limited settings guidelines for a public health approach Geneva WHO April 2002. 112. Evan der Ryst et al Correlation among total lymphocyte count absolute CD4 count and percentage in a group of HIV-1 infectd South African Patients. Journal of Acquired Immune Deficiency syndromes and Human Retrovirology 19 238-244;1998. 113. FA Post and others. CD4 total lymphocyte counts as predictors of HIV disease progression. Quarterly Journal of Medicine 89; 505-508 ;1996. 114. SJ Gange et al Use of total lymphocyte count and hemoglobin for staging HIV disease and possibly initiating antiretroviral therapy. In XIVth International AIDS Conference Barcelona, Spain, July 2002 (Abstract TuPe C4706). 115. T. Flanigan and others. Total lymphocyte count as a surrogate for CD4 count to initiate and monitor HAART in resource-limited countries . In 9th Conference on Retroviruses and Opportunistic Infections Seattle Washington February 2001. 116. LA Spacek and others. Total lymphocyte count and hemoglobin combined in an algorithm to initiate the use of highly active antiretroviral therapy in resource limited AIDS June 13, 2003; 17(9) 1311-1317. 117. Badri. M Wood r., Usefulness of total lymphocyte count in monitoring highly active antiretroviral therapy in resource-limited settings. Somerset Hospital University of Cape Town, South Africa, AIDS 2003 ; Mar 7; 17 (4); 541-5